TY - JOUR
T1 - Overview of the track on author profiling and deception detection in Arabic?
AU - Rangel, Francisco
AU - Rosso, Paolo
AU - Charfi, Anis
AU - Zaghouani, Wajdi Bilal
AU - Ghanem, Bilal
AU - Sáanchez-Junquera, Javier
N1 - Publisher Copyright:
© Copyright 2019 for this paper by its authors.
PY - 2019
Y1 - 2019
N2 - This overview presents the Author Profiling and Deception Detection in Arabic (APDA) shared task at PAN@FIRE 2019. Two have been the main aims of this years task: i) to profile the age, gender and native language of a Twitter user; ii) to determine whether an Arabic text is deceptive or not in two different genres: Twitter and news headlines. For this purpose we have created three corpora in Arabic. Altogether, the approaches of 13 participants are evaluated.
AB - This overview presents the Author Profiling and Deception Detection in Arabic (APDA) shared task at PAN@FIRE 2019. Two have been the main aims of this years task: i) to profile the age, gender and native language of a Twitter user; ii) to determine whether an Arabic text is deceptive or not in two different genres: Twitter and news headlines. For this purpose we have created three corpora in Arabic. Altogether, the approaches of 13 participants are evaluated.
KW - Arabic
KW - Author profiling
KW - Deception detection
KW - FIRE
KW - Twitter
UR - http://www.scopus.com/inward/record.url?scp=85076897080&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85076897080
SN - 1613-0073
VL - 2517
SP - 70
EP - 83
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 11th Forum for Information Retrieval Evaluation, FIRE 2019
Y2 - 12 December 2019 through 15 December 2019
ER -